On the convexity of a class of quadratic mappings and its application to the problem of finding the smallest ball enclosing a given intersection of balls

被引:27
作者
Beck, Amir [1 ]
机构
[1] Technion Israel Inst Technol, Dept Ind Engn & Management, IL-32000 Haifa, Israel
关键词
outer approximation problems; convexity of quadratic mappings; nonconvex quadratic optimization; semidefinite relaxation; strong duality;
D O I
10.1007/s10898-006-9127-8
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
We consider the outer approximation problem of finding a minimum radius ball enclosing a given intersection of at most n - 1 balls in R-n. We show that if the aforementioned intersection has a nonempty interior, then the problem reduces to minimizing a convex quadratic function over the unit simplex. This result is established by using convexity and representation theorems for a class of quadratic mappings. As a byproduct of our analysis, we show that a class of nonconvex quadratic problems admits a tight semidefinite relaxation.
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页码:113 / 126
页数:14
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